{"id":"W7096261727","doi":"","title":"Working much harder and always having to prove yourself: Immigrant women’s labour force experiences in the Canadian Maritimes","year":2005,"lang":"en","type":"article","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Qualitative research; Excellence; Point system; Qualitative analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002609201,0.0006937152,0.0006442813,0.001774398,0.03434003,0.006338198,0.002033605,0.001964554,0.0047461],"category_scores_gemma":[0.004139076,0.0005927752,0.0004293926,0.002713944,0.01510936,0.001899005,0.005398309,0.002914674,0.0003340123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0312372,"about_ca_system_score_gemma":0.04412061,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9568039,"about_ca_topic_score_gemma":0.9813775,"domain_scores_codex":[0.9971241,0.0007017205,0.00006224366,0.0001506708,0.0005198632,0.001441245],"domain_scores_gemma":[0.9976012,0.0005940906,0.0002095466,0.0000514737,0.0005070756,0.001036657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002451945,0.00001034373,0.003316798,0.00002207537,0.000001967952,0.0003775381,0.9929773,0.00001651484,0.0002624853,0.0006483793,0.0006286498,0.0017134],"study_design_scores_gemma":[9.655909e-7,0.000006570238,0.002544874,0.00002541639,0.000001651029,0.00004886563,0.9928826,0.00001010223,0.00003456013,0.0000269067,0.004409336,0.000008220894],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850776,0.0006064029,0.0001307741,0.001906018,0.00007298488,0.00003468651,0.00006896567,0.00000851335,0.01209398],"genre_scores_gemma":[0.9915746,0.0007379483,0.0001426729,0.0005078352,0.00001173504,0.00002595191,0.00003746489,0.00001709059,0.006944794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04319608,"threshold_uncertainty_score":0.2266428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452250078604228,"score_gpt":0.2687473743627813,"score_spread":0.2542248735767391,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}